Allamanis, Miltiadis

21 publications

TMLR 2024 Deep End-to-End Causal Inference Tomas Geffner, Javier Antoran, Adam Foster, Wenbo Gong, Chao Ma, Emre Kiciman, Amit Sharma, Angus Lamb, Martin Kukla, Nick Pawlowski, Agrin Hilmkil, Joel Jennings, Meyer Scetbon, Miltiadis Allamanis, Cheng Zhang

ICML 2024 Do Large Code Models Understand Programming Concepts? Counterfactual Analysis for Code Predicates Ashish Hooda, Mihai Christodorescu, Miltiadis Allamanis, Aaron Wilson, Kassem Fawaz, Somesh Jha

ICML 2024 NExT: Teaching Large Language Models to Reason About Code Execution Ansong Ni, Miltiadis Allamanis, Arman Cohan, Yinlin Deng, Kensen Shi, Charles Sutton, Pengcheng Yin

ICML 2024 Unsupervised Evaluation of Code LLMs with Round-Trip Correctness Miltiadis Allamanis, Sheena Panthaplackel, Pengcheng Yin

NeurIPSW 2022 Deep End-to-End Causal Inference Tomas Geffner, Javier Antoran, Adam Foster, Wenbo Gong, Chao Ma, Emre Kiciman, Amit Sharma, Angus Lamb, Martin Kukla, Agrin Hilmkil, Joel Jennings, Nick Pawlowski, Miltiadis Allamanis, Cheng Zhang

TMLR 2022 HEAT: Hyperedge Attention Networks Dobrik Georgiev Georgiev, Marc Brockschmidt, Miltiadis Allamanis

ICLR 2022 Learning to Complete Code with Sketches Daya Guo, Alexey Svyatkovskiy, Jian Yin, Nan Duan, Marc Brockschmidt, Miltiadis Allamanis

NeurIPS 2022 NS3: Neuro-Symbolic Semantic Code Search Shushan Arakelyan, Anna Hakhverdyan, Miltiadis Allamanis, Luis Garcia, Christophe Hauser, Xiang Ren

ICLRW 2022 NS3: Neuro-Symbolic Semantic Code Search Shushan Arakelyan, Anna Hakhverdyan, Miltiadis Allamanis, Christophe Hauser, Luis Antonio Garcia, Xiang Ren

NeurIPS 2022 Simultaneous Missing Value Imputation and Structure Learning with Groups Pablo Morales-Alvarez, Wenbo Gong, Angus Lamb, Simon Woodhead, Simon Peyton Jones, Nick Pawlowski, Miltiadis Allamanis, Cheng Zhang

NeurIPSW 2021 Accurate Imputation and Efficient Data Acquisitionwith Transformer-Based VAEs Sarah Lewis, Tatiana Matejovicova, Yingzhen Li, Angus Lamb, Yordan Zaykov, Miltiadis Allamanis, Cheng Zhang

AAAI 2021 Copy That! Editing Sequences by Copying Spans Sheena Panthaplackel, Miltiadis Allamanis, Marc Brockschmidt

NeurIPS 2021 Self-Supervised Bug Detection and Repair Miltiadis Allamanis, Henry Jackson-Flux, Marc Brockschmidt

ICLR 2019 Generative Code Modeling with Graphs Marc Brockschmidt, Miltiadis Allamanis, Alexander L. Gaunt, Oleksandr Polozov

ICLR 2019 Learning to Represent Edits Pengcheng Yin, Graham Neubig, Miltiadis Allamanis, Marc Brockschmidt, Alexander L. Gaunt

NeurIPS 2019 Program Synthesis and Semantic Parsing with Learned Code Idioms Eui Chul Shin, Miltiadis Allamanis, Marc Brockschmidt, Alex Polozov

ICLR 2019 Structured Neural Summarization Patrick Fernandes, Miltiadis Allamanis, Marc Brockschmidt

NeurIPS 2018 Constrained Graph Variational Autoencoders for Molecule Design Qi Liu, Miltiadis Allamanis, Marc Brockschmidt, Alexander Gaunt

ICLR 2018 Learning to Represent Programs with Graphs Miltiadis Allamanis, Marc Brockschmidt, Mahmoud Khademi

ICML 2017 Learning Continuous Semantic Representations of Symbolic Expressions Miltiadis Allamanis, Pankajan Chanthirasegaran, Pushmeet Kohli, Charles Sutton

ICML 2016 A Convolutional Attention Network for Extreme Summarization of Source Code Miltiadis Allamanis, Hao Peng, Charles Sutton